List of works - Cristiano Cervellera

A Novel Approach for Sampling in Approximate Dynamic Programming Based on $F$ -Discrepancy

scientific article published on 7 February 2017

An Extreme Learning Machine Approach to Density Estimation Problems

scientific article published on 17 January 2017

An Improved Load Flow Method for MV Networks Based on LV Load Measurements and Estimations

An Optimized Content Replication and Distribution Framework for Vehicular Networks

scholarly article by Luca Caviglione & Cristiano Cervellera published October 2011 in Journal of Intelligent Transportation Systems

An analysis based on F-discrepancy for sampling in regression tree learning

An approach to exploit non-optimized data for efficient control of unknown systems through neural and kernel models

Design of a peer-to-peer system for optimized content replication

article

Design of asymptotic estimators: an approach based on neural networks and nonlinear programming

scientific article published in January 2007

Design, optimization and performance evaluation of a content distribution overlay for streaming

Deterministic design for neural network learning: an approach based on discrepancy

scientific article published in May 2004

Deterministic learning for maximum-likelihood estimation through neural networks

scientific article published in August 2008

Distribution-Preserving Stratified Sampling for Learning Problems

scientific article published on 9 June 2017

Efficient global maximum likelihood estimation through kernel methods

scientific article published on 27 March 2010

Efficient use of Nadaraya-Watson models and low-discrepancy sequences for approximate dynamic programming

F -Discrepancy for Efficient Sampling in Approximate Dynamic Programming

scientific article

Lattice point sets for deterministic learning and approximate optimization problems

scientific article published on 17 February 2010

Lattice point sets for efficient kernel smoothing models

Lattice point sets for state sampling in approximate dynamic programming

Lattice sampling for efficient learning with Nadaraya-Watson local models

Learning with kernel smoothing models and low-discrepancy sampling

scientific article published in March 2013

Local linear regression for function learning: an analysis based on sample discrepancy

scientific article published in November 2014

Low-Discrepancy Points for Deterministic Assignment of Hidden Weights in Extreme Learning Machines

scientific article published on 7 May 2015

List of works by Cristiano Cervellera